In the ever-evolving landscape of digital marketing, new strategies often emerge that challenge traditional SEO practices. One such approach is AI SEO (AI search optimization), which optimizes content for AI-generated search results. While some argue that AI search optimization is replacing SEO, the reality is quite different—the two are not rivals but rather complementary forces that, when combined, can maximize online visibility and traffic.
SEO has been the backbone of digital marketing for decades. It focuses on optimizing content for traditional search engines like Google and Bing by leveraging keywords, backlinks, structured data, and high-quality content to rank higher in search engine results pages (SERPs). The key pillars of SEO include:
SEO ensures that search engines understand and trust a website, leading to higher rankings and organic traffic. But as AI-powered search engines gain traction, the game is evolving.
Click here to learn why you should invest in SEO.
AI SEO, or Artificial Intelligence Engine Optimization, focuses on improving visibility within AI-driven search engines, such as ChatGPT, Google’s SGE (Search Generative Experience), and Bing’s AI chat results. Unlike SEO, which relies on direct ranking factors, AI SEO involves feeding AI models with structured, authoritative, and frequently cited content to ensure a brand appears in AI-generated answers.
Key elements of AI SEO include:
Instead of competing, AI SEO builds on the foundation of SEO, allowing brands to thrive in both traditional search and AI-driven search experiences. Here’s how they complement each other:
Area |
SEO |
AI SEO |
Keyword Focus |
Intent-based keyword targeting |
Natural language phrasing + long-tail Q&A structure |
Search Outcome |
Ranked results leading to website traffic |
Instant answers—reduced click-through |
Content Format |
Optimized blog posts, category pages, etc. |
Answer-ready, structured, fact-based content |
Brand Discovery |
Branded SERP presence |
Being the source cited in AI answers |
Feature |
SEO |
AI SEO |
Target Engines |
Google, Bing, Yahoo |
ChatGPT, Perplexity, Claude, Copilot, Google SGE |
Output Format |
Ranked links |
Summarized answers |
Ranking Factors |
Backlinks, content relevance, structure |
Authority, semantic clarity, topical depth, source trust |
User Journey |
Click-based navigation |
Answer-first, with reduced need for clicks |
Content Objective |
Keyword-optimized to rank |
Contextually optimized to be cited and summarized |
KPIs |
Traffic, CTR, rankings, etc. |
Impressions metrics, brand mentions in answers, referral traffic |
Rather than treating SEO and AI SEO as separate entities, brands should integrate both strategies to future-proof their online presence. Here’s what marketers should focus on:
By combining SEO’s structured approach with AI SEO’s AI-driven optimization, brands can maximize discoverability across both traditional and AI-generated search landscapes, and achieve sustainable growth.
Looking to optimize your brand’s search presence for both SEO and AI SEO? Contact Ranky today to future-proof your strategy!